EP 4134920 A3 20230524 - ENTITY RECOGNITION METHOD AND APPARATUS, AND COMPUTER PROGRAM PRODUCT

Title (en)

ENTITY RECOGNITION METHOD AND APPARATUS, AND COMPUTER PROGRAM PRODUCT

Title (de)

ENTITÄTSERKENNUNGSVERFAHREN UND -VORRICHTUNG UND COMPUTERPROGRAMMPRODUKT

Title (fr)

PROCÉDÉ ET APPAREIL DE RECONNAISSANCE D'ENTITÉ ET PRODUIT DE PROGRAMME INFORMATIQUE

Publication

EP 4134920 A3 20230524 (EN)

Application

EP 22201091 A 20221012

Priority

CN 202111413500 A 20211125

Abstract (en)

The present disclosure provides an entity recognition method and apparatus, an electronic device, a storage medium, and a computer program product, relates to the field of artificial intelligence, specifically relates to the technical field of deep learning and image recognition, and may be used in a scenario of named entity recognition. A specific implementation solution includes: recognizing a to-be-recognized image to determine a preliminary recognition result for entities in the to-be-recognized image; determining, in response to determining that the preliminary recognition result includes a plurality of entities of a same category, image features of the to-be-recognized image and textual features of the plurality of entities; determining whether the plurality of entities is a consecutive complete entity based on the image features and the textual features, to obtain a complete-entity determining result; and obtaining a final recognition result based on the preliminary recognition result and the complete-entity determining result. The present disclosure solves the problem of the entity discontinuity, and improves the accuracy of entity recognition.

IPC 8 full level

G06V 10/82 (2022.01); G06F 18/2413 (2023.01); G06V 30/262 (2022.01)

CPC (source: CN EP US)

G06F 18/214 (2023.01 - CN); G06F 18/2413 (2023.01 - EP); G06F 40/295 (2020.01 - CN EP US); G06V 10/22 (2022.01 - US); G06V 10/82 (2022.01 - EP US); G06V 30/268 (2022.01 - EP); G06V 30/274 (2022.01 - EP)

Citation (search report)

[I] YULIN LI ET AL: "StrucTexT: Structured Text Understanding with Multi-Modal Transformers", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 8 November 2021 (2021-11-08), XP091089729
[A] JOSEPH FISHER ET AL: "Merge and Label: A novel neural network architecture for nested NER", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 30 June 2019 (2019-06-30), XP081377869
[A] FEI LI ET AL: "A Span-Based Model for Joint Overlapped and Discontinuous Named Entity Recognition", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 28 June 2021 (2021-06-28), XP081995574
[A] XIANG DAI ET AL: "An Effective Transition-based Model for Discontinuous NER", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 28 April 2020 (2020-04-28), XP081654182
[A] LI GUANLAN ET AL: "Named Entity Recognition Based on Bi-LSTM and CRF-CEL", 2020 13TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION (ICICTA), IEEE, 24 October 2020 (2020-10-24), pages 337 - 341, XP033971117, DOI: 10.1109/ICICTA51737.2020.00078

Designated contracting state (EPC)

AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC ME MK MT NL NO PL PT RO RS SE SI SK SM TR

Designated extension state (EPC)

Designated validation state (EPC)

KH MA MD TN

DOCDB simple family (publication)

EP 4134920 A2 20230215; EP 4134920 A3 20230524; CN 114120304 A 20220301; CN 114120304 B 20231205; US 2023052906 A1 20230216

DOCDB simple family (application)

EP 22201091 A 20221012; CN 202111413500 A 20211125; US 202217963453 A 20221011